The Offline Driving Intelligence team is responsible for developing machine learning algorithms that leverage data at large scale to train driving models. On the behaviors and planning team we learn and predict behaviors from large scale expert data and large scale reinforcement learning. This Offline Driving Intelligence team can leverage provided setups such as extended memory, flexible time and access to privileged information. The solutions developed are used in offline applications and to influence onboard decisions. This team is also building intelligent driving agents and dense driving metrics. In this role, you will collaborate closely with the Onboard Planning, Simulation, Perception, Validation, Data Science, Systems Engineering, QA, and ML Infra teams.
In this role, you will:
Qualifications:
Bonus Qualifications
Additional
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
